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  • Open Access

    ARTICLE

    Prognostic Significance and Functional Role of PPIB in a Retrospective Cohort of Patients with Advanced Gastric Cancer

    Kyungeun Kim1,2,#, Eunho Cho3,#, Eun Joo Chung4, Kwon-Ho Song5, Tae Woo Kim3,6, Seoung Wan Chae1,*, Joon-Yong Chung7,*

    Oncology Research, Vol.34, No.9, 2026, DOI:10.32604/or.2026.083437 - 13 August 2026

    Abstract Objectives: Gastric cancer remains a major global health burden, and robust biomarkers are needed to improve risk stratification. Although peptidyl-prolyl isomerase B (PPIB) has been suggested as a potential oncogenic factor, its clinical utility in gastric cancer remains unclear. This study aims to evaluate the clinicopathological and prognostic significance of PPIB mRNA expression and delineate its functional role in driving tumor progression. Methods: PPIB mRNA expression was evaluated in a retrospective cohort of 497 gastric cancer patients using RNAscope in situ hybridization and digital image analysis. Functional roles and underlying mechanism were assessed through siRNA-mediated knockdown, plasmid-driven overexpression,… More >

  • Open Access

    ARTICLE

    On-Treatment Grade 3–4 Neutropenia and Clinical Outcomes with Trifluridine/Tipiracil in Refractory Metastatic Colorectal Cancer: ReTrITA Real-World Evidence

    Carlo Signorelli1,*, Michele Basso2, Annunziato Anghelone2, Maria Alessandra Calegari2, Alessandro Passardi3, Chiara Gallio3, Alessandro Bittoni3, Jessica Lucchetti4, Lorenzo Angotti4, Emanuela Di Giacomo4, Ina Valeria Zurlo5, Cristina Morelli6, Emanuela Dell’Aquila7, Adele Artemi7, Donatello Gemma8, Domenico Cristiano Corsi9, Alessandra Emiliani9, Marta Ribelli9, Federica Mazzuca10, Giulia Arrivi10, Federica Zoratto11, Maria Grazia Morandi12, Fiorenza Santamaria13,14, Manuela Dettori15, Antonella Cosimati16, Rosa Saltarelli17, Alessandro Minelli18, Emanuela Lucci-Cordisco19, Mario Giovanni Chilelli1

    Oncology Research, Vol.34, No.9, 2026, DOI:10.32604/or.2026.080964 - 13 August 2026

    Abstract Background: Trifluridine/tipiracil (T) is a standard treatment for refractory metastatic colorectal cancer (mCRC). In randomized trials, treatment-emergent neutropenia has been associated with improved outcomes, suggesting a potential link with drug activity. However, evidence from routine clinical practice remains limited. This sub-analysis of the multicenter ReTrITA study evaluated the association between severe neutropenia and clinical outcomes in a real-world setting. Methods: Patients with refractory mCRC treated with T within the ReTrITA cohort were included. Patients were stratified according to the occurrence of grade 3–4 neutropenia. Overall survival (OS) and progression-free survival (PFS) were estimated using the Kaplan–Meier… More >

  • Open Access

    ARTICLE

    Multi-Omics Identification of UBE2C as a Prognostic Biomarker and Therapeutic Target Linked to Topotecan Sensitivity in Cervical Cancer

    Emmanuel Naveen Raj1,#, Chia-Jung Li1,2,3,4,5,#, Shih-Hsuan Cheng1, Su-Boon Yong6,7, Zhi-Hong Wen3,8, An-Jen Chiang1,9,*

    Oncology Research, Vol.34, No.9, 2026, DOI:10.32604/or.2026.079551 - 13 August 2026

    Abstract Objectives: Cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) necessitate the discovery of novel biomarkers for prognostic and therapeutic advancement. This study aims to evaluate the clinical significance of ubiquitin-conjugating enzyme E2C (UBE2C) and its association with the tumor microenvironment (TME) in CESC. Methods: We meticulously sourced CESC data from renowned repositories such as The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx), and Gene Expression Omnibus (GEO), leveraging cutting-edge techniques including single-cell RNA sequencing (scRNA-seq), spatial transcriptomics, and pharmacogenomics. Through multifaceted data analysis, we endeavored to unravel the intricate role and potential value of UBE2C in… More > Graphic Abstract

    Multi-Omics Identification of UBE2C as a Prognostic Biomarker and Therapeutic Target Linked to Topotecan Sensitivity in Cervical Cancer

  • Open Access

    REVIEW

    Emerging Roles of Exosomes and Exosomal Antigens as Potential Diagnostic and Prognostic Agents for Mycobacterium tuberculosis Infection

    Mohammad Muzaffar Mir1,*, Rashid Mir2,3, Badr A. Alsayed4, Mohammed M. Jalal3, Malik A. Altayar3, Hanan M. Aljammaz5, Zinab Alatawi6, Khalid A. Alfifi2, Basmah M. Alenzi7, Mohammad Tanveer Khaji8, Umair Ismail9, Ghada Mohamed10,11, Nada Zai Sageer12, Abdullatif Taha Babakr13, Saba M. Mir14, Ulfat Jan15

    BIOCELL, Vol.50, No.8, 2026, DOI:10.32604/biocell.2026.077540 - 27 July 2026

    Abstract The tuberculosis (TB) epidemic continues to be one of the largest public health challenges affecting people globally, especially due to late diagnosis, disease monitoring, and prognosis. Currently used diagnostic tools have variable sensitivity and accessibility, and many have limited ability to differentiate between latent and active TB. In case of TB, exosomes from cells infected with Mycobacterium tuberculosis (M. tuberculosis) have disease-specific antigens, microRNAs, and other molecular components, which make them potential diagnostic and prognostic biomarkers. This review focuses on previously published literature regarding the role of exosomes and exosomal antigens in TB screening and prognostication. It… More >

  • Open Access

    ARTICLE

    Integrative Analysis Identified an Eight-Gene Risk Signature Linked to CDK7 and Explored Its Association with HCC Progression via RelA Phosphorylation

    Bin Lan1, Jie Tan1, Qing Wang1, Siyuan Zeng2,*

    Oncology Research, Vol.34, No.8, 2026, DOI:10.32604/or.2026.081711 - 16 July 2026

    Abstract Backgrounds: Cyclin-dependent kinase 7 (CDK7) plays key roles in transcription and cell cycle regulation, and its inhibition has been proposed as a potential therapeutic strategy for hepatocellular carcinoma (HCC). The primary research objective of this study is to identify and validate CDK7-associated prognostic genes in HCC using bioinformatics approaches, construct a reliable prognostic risk model, and explore the functional role of CDK7 in HCC progression through in vitro and in vivo experiments, with a specific focus on its association with RelA/p65 phosphorylation, so as to provide evidence supporting CDK7 as a potential prognostic biomarker and therapeutic target for… More >

  • Open Access

    ARTICLE

    ANLN: A New Hub in Glutamine Metabolism of Lung Adenocarcinoma by scRNA-Seq and Machine Learning

    Yiming Ma1,2,#, Zhihan Zhang1,2,#, Hongli Pan3, Hailin Jiang1,2, Lili Guo4,*, Fengjie Guo1,2,*

    Oncology Research, Vol.34, No.8, 2026, DOI:10.32604/or.2026.079515 - 16 July 2026

    Abstract Objectives: Lung adenocarcinoma (LUAD) has a poor prognosis, and effective metabolic biomarkers are still few. Glutamine metabolism is one of the central features of tumor metabolic reprogramming, but the cellular heterogeneity and clinical significance of glutamine metabolism in the LUAD tumor microenvironment (TME) remain unknown. The goal of this paper was to define glutamine metabolism on a single-cell basis and determine major regulators that have predictive value. Methods: A single-cell RNA sequencing dataset (GSE149655) was combined with The Cancer Genome Atlas Lung Adenocarcinoma (TCGA-LUAD) and Gene Expression Omnibus (GEO) datasets in order to evaluate the… More >

  • Open Access

    ARTICLE

    Integrated Multi-Omics and Spatial Transcriptomics Reveal GUK1 as a Prognostic Biomarker Regulated by the TP53-HSF1 Axis in Breast Cancer

    Wei Lee1, Hung-Yu Lin1,2,*, Pei-Yi Chu1,3,*

    Oncology Research, Vol.34, No.8, 2026, DOI:10.32604/or.2026.078813 - 16 July 2026

    Abstract Background: Guanylate kinase 1 (GUK1) is crucial for nucleotide metabolism, yet its impact on breast cancer (BC) progression remains poorly defined. The objective of the present study is to investigate GUK1 as a prognostic biomarker and therapeutic target. Methods: We employed a multi-omics approach integrating The Cancer Genome Atlas (TCGA) data, machine learning algorithm, High-Definition spatial transcriptomics (Visium HD), single-cell profiling, molecular docking and experimental validation including in vitro knockdown models and Surface Plasmon Resonance (SPR). Results: LASSO regression identified GUK1 as a key metabolic driver. High expression correlated significantly with poor survival and was most pronounced in… More >

  • Open Access

    ARTICLE

    VEGFC as a prognostic cytokine biomarker linking lymph node metastasis to immune suppression in breast cancer

    Hsing-Ju Wu1,2, Yu-Chieh Tsai3,*, Hung-Yu Lin2,4,*

    European Cytokine Network, Vol.37, No.2, pp. 121-135, 2026, DOI:10.32604/ecn.2026.079012 - 30 June 2026

    Abstract Backgrounds: Lymph node metastasis is a critical determinant of breast cancer prognosis, yet the specific microenvironmental cytokines driving this process remain elusive. This study aims to identify key prognostic cytokines linking nodal metastasis to tumor microenvironment (TME) remodeling and to evaluate their clinical utility. Methods: A predefined panel of 176 microenvironmental genes was evaluated using differential expression analysis and the Least Absolute Shrinkage and Selection Operator (LASSO) algorithm on the TCGA-BRCA cohort to identify optimal predictors of nodal metastasis. Prognostic value was assessed via Kaplan-Meier, subgroup, and multivariate Cox regression analyses, and validated across five… More > Graphic Abstract

    <i>VEGFC</i> as a prognostic cytokine biomarker linking lymph node metastasis to immune suppression in breast cancer

  • Open Access

    ARTICLE

    PRIME: A Physics-Guided Residual Integrated Framework for Multi-Task Aircraft Engine Diagnostics

    Ouail Mjahed1,*, Soukaina Mjahed2

    CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.3, 2026, DOI:10.32604/cmes.2026.083272 - 30 June 2026

    Abstract Accurate aircraft engine diagnostics is essential for ensuring operational safety and enabling predictive maintenance under heterogeneous operating conditions. Although deep learning models can effectively capture high-dimensional multivariate sensor dynamics, purely data-driven approaches often entangle operating-condition variability with degradation-sensitive patterns, which limits robustness and generalization. This paper introduces PRIME, a physics-guided residual integrated framework for multi-task aircraft engine diagnostics. Rather than embedding explicit thermodynamic equations or physical constraints into the optimization process, PRIME relies on a physically motivated residual decomposition strategy that separates operating-condition-driven nominal behavior from degradation-sensitive sensor deviations. Specifically, nominal responses are estimated from operating-condition… More >

  • Open Access

    REVIEW

    Prognostic Value of Spatial and Topological Features of Tumor Microenvironment in Classic Hodgkin Lymphoma

    Irene Bernal-Florindo1,2, Jose Angel Raposo-Puglia2,3, Felix A. Ruiz2,4, Jose Perez-Requena2,5, Cristian Benavides-de la Fuente2,5, Javier Galan2,6, Maria Jose Berruezo-Salazar2,7, Marcial Garcia-Rojo1,2, Cecilia Fernandez-Ponce2,4,*, Antonio Santisteban-Espejo2,8

    Oncology Research, Vol.34, No.7, 2026, DOI:10.32604/or.2026.079403 - 16 June 2026

    Abstract Classic Hodgkin lymphoma (CHL) constitutes a B-cell malignant lymphoid neoplasm derived from the germinal center. Despite current treatment protocols based on chemotherapy, radiotherapy, anti-cluster of differentiation (CD) 30 antibody-drug conjugates, immunotherapy, and hematopoietic stem cell transplantation (HSCT), between 10% and 20% of CHL patients fail to achieve a complete response. The reasons underlying this lack of treatment sensitivity remain unclear. Traditionally, clinical and analytical variables have constituted the cornerstone of CHL prognostic model development. However, in recent years, the distribution and spatial relationships of cancer and immune cells within the CHL tumor microenvironment (TME) have… More >

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